Visualizations - How to choose the best charts and graphs to support your data

Visualizations - How to choose the best charts and graphs to support your data Jessica Murguia Mamta Chirmade

Agenda The Need for Data Visualization Types and Functions of Data Visualization The Data You Have Getting to Know your Role Getting to know the Data Visualizations Questions and Answers 2

Audience Poll Getting to know you

Audience Poll Live Voting results 4

Audience Poll Live Voting results 5

Audience Poll Live Voting results 6

The Need for Data Visualization Why do we visualize data? Numbers have an important story to tell. They rely on you to give them a clear and convincing voice. Stephen Few, Now You See It: Simple Visualization Techniques for Quantitative Analysis 7

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Audience Poll Let s have some fun!

Which table makes it easy to tell: How many times does the number 89 appear? A B 78 42 71 43 84 27 83 91 39 18 80 15 44 66 79 32 15 68 40 35 54 93 47 22 77 87 85 35 17 62 99 47 44 19 39 12 78 87 99 75 21 75 65 43 66 41 56 22 66 62 29 96 21 41 55 48 7 25 85 9 91 67 53 33 34 28 28 24 6 33 94 68 81 24 89 67 70 18 97 40 46 29 0 36 28 17 44 83 17 31 0 96 95 39 60 81 24 56 27 4 36 22 38 9 12 83 6 94 92 47 70 94 50 18 67 80 13 56 25 96 65 78 41 89 42 33 53 37 10 35 82 40 71 18 34 58 79 58 33 99 59 33 68 4 34 19 78 11 23 1 46 8 43 89 91 57 3 45 7 87 22 1 7 79 97 21 92 34 39 4 47 8 84 30 19 38 46 48 70 77 22 68 58 23 59 18 94 49 47 30 5 22 60 73 93 64 15 20 46 79 47 43 55 52 48 31 46 25 49 38 55 16 29 91 93 61 86 87 4 83 87 91 58 7 30 27 43 8 91 12 48 74 41 45 30 17 83 20 66 11 78 42 71 43 84 27 83 91 39 18 80 15 44 66 79 32 15 68 40 35 54 93 47 22 77 87 85 35 17 62 99 47 44 19 39 12 78 87 99 75 21 75 65 43 66 41 56 22 66 62 29 96 21 41 55 48 7 25 85 9 91 67 53 33 34 28 28 24 6 33 94 68 81 24 89 67 70 18 97 40 46 29 0 36 28 17 44 83 17 31 0 96 95 39 60 81 24 56 27 4 36 22 38 9 12 83 6 94 92 47 70 94 50 18 67 80 13 56 25 96 65 78 41 89 42 33 53 37 10 35 82 40 71 18 34 58 79 58 33 99 59 33 68 4 34 19 78 11 23 1 46 8 43 89 91 57 3 45 7 87 22 1 7 79 97 21 92 34 39 4 47 8 84 30 19 38 46 48 70 77 22 68 58 23 59 18 94 49 47 30 5 22 60 73 93 64 15 20 46 79 47 43 55 52 48 31 46 25 49 38 55 16 29 91 93 61 86 87 4 83 87 91 58 7 30 27 43 8 91 12 48 74 41 45 30 17 83 20 66 11

Audience Poll Live Voting results 14

Which image makes it easier to compare these numbers 15012, 8271, 30193, 1189, 9913, 16000, 92481, 49801, 100407, 2910, 3809, 8018, 61528, 18083, 38691, 1800 A B Image taken from: David Newbury s presentation on Data Visualization

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Which graph is easier to spot the trend on? A B

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What would you use for visualizing? 1. Identifying most often searched words on your website 2. Contribution of individual Regions to Company total 3. Contribution of individual Regions to Company total over time

Agenda The Need for Data Visualization Types and Functions of Data Visualization The Data You Have Getting to Know your Role Getting to know the Data Visualizations Do s and Don ts Questions and Answers 20

Types and Functions of Data Visualization What is the purpose of your visualization? Interactive Exploratory Explanatory Static 21

Types and Functions of Data Visualization Explanatory vs. Exploratory Explanatory: You are telling a story that would be hard to tell otherwise Exploratory: You are trying to understand what you don t know 22

Agenda The Need for Data Visualization Types and Functions of Data Visualization The Data You Have Getting to Know your Role Getting to know the Data Visualizations Do s and Don ts Questions and Answers 23

Understand Your Data Know your data to visualize it correctly Qualitative (Attributes) Quantitative (Metrics) Nominal Data o o o o Defines, Describes or Identifies can be counted can t be ordered can t be aggregated Ordinal Data o o o o Indicates Position or Order can be counted can be ordered can t be aggregated Cardinal Data o o o o Quantifies, Counts or Measures can be counted can be ordered can be aggregated o Examples: Product (Books, Movies) Gender City o Examples: Date or Time Rank Grade (A, A+, B-) o Examples: KPIs Counts Measures 24

Agenda The Need for Data Visualization Types and Functions of Data Visualization The Data You Have Getting to know your Role Getting to know the Data Visualizations Do s and Don ts Questions and Answers 25

Getting to know Your Role Creators and Consumers of Visualized data products Creators IT Teams Business Power Users Business Analysts Consumers Business users External Customers Executives Types of Analysis Current State of Business Trends Comparisons Relationships Geospatial Analysis Correlations Projected Performance Unstructured Data/Ad-hoc analysis What if scenarios Explorations 26

Agenda The Need for Data Visualization Types and Functions of Data Visualization The Data You Have Getting to know your Role Getting to know the Data Visualizations Do s and Don ts Questions and Answers 27

Getting to know Data Visualizations Type of Analysis: Current State of Business Example: Micro-charts Other Visualizations: Grids Simple graphs Pie Charts Text boxes with formatting 28

Getting to Know The Visualizations Time Visualizations Time Few Periods Many Periods Single of Few Categories Many Categories Clustered Bar Chart Line Graph Line Graph 1 Ordinal Attribute, 2+ Metrics 1 Ordinal Attribute, 1 Nominal Attribute, 1+ Metrics 29

Getting to know Data Visualizations Type of Analysis: Comparisons Comparison Few Categories Many Categories Few Items Many Items Clustered Bar Chart Bar Chart Bar Chart Matrix 1 Attribute, 2 Metrics 1 Attribute, 1 Metric 2+ Attribute, 1+ Metrics 30

Getting to Know The Visualizations Type of Analysis: Relationship: Part-to-whole Visualizations Part-to-whole Few Categories Many Categories Parts of Categories Pie Chart Heat Map 100% Stacked Bar 1 Attribute, 1 Metric 1+ Attributes, 1+ Metrics 2+ Attributes, 1 Metric 31

Getting to Know The Visualizations Type of Analysis: Relationship Visualizations Relationship Two Variables Three Variables Related Elements Scatter Plot Bubble Chart Network Graph 1+ Attribute, 2 Metrics 1+ Attribute, 3 Metrics 2 Attributes, 3 Metrics 32

Getting to Know The Visualizations Type of Analysis: Geospatial Geography Few Data Points Many Data Points Bubble Map Area Map Marker Map Density Map 1 Geo Attribute, 1 Metric 1 Geo Attribute 33

Getting to know Data Visualizations Type of Analysis: Sequential Visualizations Example: Gantt Charts, Calendar 34

Getting to know Data Visualizations Type of Analysis: Sequential + Comparisons 35

Getting to know Data Visualizations Type of Analysis: Sequential + Comparisons 36

Getting to know Data Visualizations Type of Analysis: Flow Analysis Visualizations Example: Tree Visualization, Sankey Visual 37

Getting to know Data Visualizations Type of Analysis: Flow Analysis 38

Getting to know Data Visualizations Type of Analysis: Explorations 21-30 16-20 39

Getting to know Data Visualizations Type of Analysis: Explorations Sunburst & Bubble 21-30 16-20 41

Getting to know Data Visualizations A Recap Interactive Exploratory Explanatory Static 42

Questions and Answers MicroStrategy World 2016 45